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AIの未来、ChatGPT、Bard、AIGCサービス

AIGC is in high industry demand and has been labeled as one of the most prospective paths for the future of AI. The AI industry is expected to experience a technological revolution driven by the application of AIGC in text, audio, images/videos, games, the metaverse, and many other technological scenarios. The successful commercialization of AIGC in those fields represents the potential of a trillion-dollar market,and has made related startups extremely appealing to investors

ChatGPT: OptimizingLanguage Modelsfor Dialogue

We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.

Introducing Bard

It’s a really exciting time to be working on these technologies as we translate deep research and breakthroughs into products that truly help people. That’s the journey we’ve been on with large language models. Two years ago we unveiled next-generation language and conversation capabilities powered by our Language Model for Dialogue Applications (or LaMDA for short).

We’ve been working on an experimental conversational AI service, powered by LaMDA, that we’re calling Bard.

  • メタバース事業

METAVERSE BUSINESS

バーチャル空間でのアバターを介した様々な体験やコミュニケーションの提供

  • デジタルツイン事業

DIGITAL TWIN BUSINESS

XRを活用した現実世界と仮想空間の相互作用により新たな価値を提供

  • XRデバイス事業

XR DEVICE BUSINESS

自社デバイスの提供によりサービスと一体で価値・体験を提供

 キャラクター制作
3DCG制作
ARアプリ・WebAR企画開発
映像制作

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AIGC (AI-Generated Content)

Methods that train and fine-tune AIGC (AI-Generated Content) models in a faster and cheaper manner have become extremely sought after for the commercialization and application of AIGC. Using previous experience regarding large model acceleration, AI was able to release a complete open-source Stable Diffusion pretraining and fine-tuning solution. This solution reduces the pretraining cost by 6.5 times, and the hardware cost of fine-tuning by 7 times, while simultaneously speeding up the processes! The fine-tuning task flow can also be conveniently completed on an RTX 2070/3050 PC, allowing AIGC models such as Stable Diffusion to be available to those without access to extremely complicated machines.

AIサービス

Our mission is to build open-source AI projects through collaborative research efforts between leaders and experts in their fields; these include researchers, engineers, developers, PhD candidates, and AI artists across multiple disciplines. Current AI projects include text-to-image generation and model developments in language, learning, audio and biology.

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ChatGPT: OptimizingLanguage Modelsfor Dialogue

We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.

Introducing Bard

It’s a really exciting time to be working on these technologies as we translate deep research and breakthroughs into products that truly help people. That’s the journey we’ve been on with large language models. Two years ago we unveiled next-generation language and conversation capabilities powered by our Language Model for Dialogue Applications (or LaMDA for short).

We’ve been working on an experimental conversational AI service, powered by LaMDA, that we’re calling Bard.

  No-code AI is a category in the AI landscape that aims to democratize AI. No-code AI means using a no-code development platform with a visual, code-free, and often drag-and-drop interface to deploy AI and machine learning models. No code AI enables non-technical users to quickly classify, analyze data and easily build accurate models to make predictionsOur primary drive is that creativity promotes the advancement and expansion of the human potential to develop breakthrough ideas and convert them into practical solutions to build an inclusive, more communicative, creative future for everyone.

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